Filling Gaps in Indo-US Stellar Spectral Library using Principal Component Analysis

dc.contributor.authorSingh, Harinder P
dc.contributor.authorSingh, S. Jotin
dc.contributor.authorGupta, Ranjan
dc.contributor.authoret
dc.date.accessioned2012-07-31T14:22:23Z
dc.date.available2012-07-31T14:22:23Z
dc.date.issued2006-07-12
dc.description.abstractThe Indo-US coud´e feed stellar spectral library (CFLIB) published recently by Valdes et al. (2004) contains spectra of 1273 stars in the spectral region 3460 to 9464 ˚A at a resolution of 1 ˚A. About 500 stars in this database have gaps ranging from a few ˚A to several tens of ˚A in this wavelength range. We use a variation of Principal Component Analysis (PCA) technique to fill gaps of up to 5˚A in a subset of spectra from the CFLIB. We hope to exploit the full potential of the scheme and attempt to fill larger gaps in stellar spectra in a subsequent study.en_US
dc.identifier.urihttp://hdl.handle.net/11007/1904
dc.language.isoenen_US
dc.publisherStellar Populations as Building Blocks of Galaxies Proceedings IAU Symposiumen_US
dc.subjectStars: Catalogs, Principal Component Analysisen_US
dc.subjectMethods: Data Analysisen_US
dc.titleFilling Gaps in Indo-US Stellar Spectral Library using Principal Component Analysisen_US
dc.typeArticleen_US

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